This research trial studies biomarkers in predicting treatment response in samples from patients with early-stage non-small cell lung cancer previously treated with adjuvant chemotherapy. Studying samples of tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how patients will respond to treatment.

Survival curves will be estimated using Kaplan-Meier methods and compared with the log-rank test. The hypothesis of constant risk ratio over time in the Cox proportional hazards (PH) model will be tested by introducing a time-dependent interaction with the marker or using Schoenfeld's residuals.

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Please refer to this study by its ClinicalTrials.gov identifier: NCT01595074